Juergen Weitz

7.0k total citations · 2 hit papers
60 papers, 5.0k citations indexed

About

Juergen Weitz is a scholar working on Oncology, Surgery and Molecular Biology. According to data from OpenAlex, Juergen Weitz has authored 60 papers receiving a total of 5.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Oncology, 19 papers in Surgery and 14 papers in Molecular Biology. Recurrent topics in Juergen Weitz's work include Pancreatic and Hepatic Oncology Research (8 papers), Colorectal Cancer Treatments and Studies (7 papers) and Colorectal Cancer Surgical Treatments (6 papers). Juergen Weitz is often cited by papers focused on Pancreatic and Hepatic Oncology Research (8 papers), Colorectal Cancer Treatments and Studies (7 papers) and Colorectal Cancer Surgical Treatments (6 papers). Juergen Weitz collaborates with scholars based in Germany, United States and Spain. Juergen Weitz's co-authors include Christoph Kahlert, Sónia A. Melo, Raghu Kalluri, Nuh N. Rahbari, Christoph Reißfelder, Christian Pilarsky, Mario F. Fraga, Agustín F. Fernández, Elizabeth A. Mittendorf and Seth T. Gammon and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Juergen Weitz

60 papers receiving 4.9k citations

Hit Papers

Glypican-1 identifies cancer exosomes and detects early p... 2014 2026 2018 2022 2015 2014 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Juergen Weitz Germany 26 3.1k 2.3k 1.5k 721 632 60 5.0k
Christoph Kahlert Germany 30 4.2k 1.4× 3.2k 1.4× 1.8k 1.2× 988 1.4× 619 1.0× 98 6.1k
Kenoki Ohuchida Japan 45 2.8k 0.9× 2.0k 0.8× 3.5k 2.3× 839 1.2× 970 1.5× 228 6.6k
David Hardisson Spain 42 3.6k 1.2× 1.9k 0.8× 2.6k 1.7× 402 0.6× 756 1.2× 158 7.0k
Ricky T. Tong United States 16 2.3k 0.7× 1.6k 0.7× 981 0.6× 278 0.4× 563 0.9× 23 4.0k
Joanne Yu Canada 29 2.1k 0.7× 1.0k 0.4× 920 0.6× 765 1.1× 363 0.6× 45 4.1k
Margareta M. Mueller Germany 31 1.8k 0.6× 1.0k 0.4× 1.7k 1.1× 972 1.3× 380 0.6× 48 4.6k
Richard L. Shapiro United States 38 2.4k 0.8× 1.6k 0.7× 2.5k 1.6× 1.1k 1.6× 501 0.8× 142 5.2k
James A. Zwiebel United States 44 4.7k 1.5× 933 0.4× 2.5k 1.7× 484 0.7× 741 1.2× 140 7.3k
Mihaela Skobe United States 36 3.8k 1.2× 1.2k 0.5× 4.5k 3.0× 901 1.2× 394 0.6× 44 7.0k
Heidi Schwarzenbach Germany 42 5.9k 1.9× 6.3k 2.7× 1.9k 1.2× 612 0.8× 1.3k 2.1× 105 9.0k

Countries citing papers authored by Juergen Weitz

Since Specialization
Citations

This map shows the geographic impact of Juergen Weitz's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Juergen Weitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juergen Weitz more than expected).

Fields of papers citing papers by Juergen Weitz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juergen Weitz. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Juergen Weitz. The network helps show where Juergen Weitz may publish in the future.

Co-authorship network of co-authors of Juergen Weitz

This figure shows the co-authorship network connecting the top 25 collaborators of Juergen Weitz. A scholar is included among the top collaborators of Juergen Weitz based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Juergen Weitz. Juergen Weitz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yang, Cui, et al.. (2022). Effect of Genre and amplitude of music during laparoscopic surgery. Langenbeck s Archives of Surgery. 407(5). 2115–2121. 2 indexed citations
2.
Plodeck, Verena, et al.. (2021). Predicting postoperative pancreatic fistula in pancreatic head resections: which score fits all?. Langenbeck s Archives of Surgery. 407(1). 175–188. 8 indexed citations
4.
Rahbari, Mohammad, Mathieu Pecqueux, Daniela E. Aust, et al.. (2019). Expression of Glypican 3 Is an Independent Prognostic Biomarker in Primary Gastro-Esophageal Adenocarcinoma and Corresponding Serum Exosomes. Journal of Clinical Medicine. 8(5). 696–696. 14 indexed citations
5.
Nitschke, Philipp, Petar Petrov, Anke Rentsch, et al.. (2018). Validation of prognostic risk scores for patients undergoing resection for pancreatic cancer. Pancreatology. 18(5). 585–591. 14 indexed citations
6.
Yang, Cui, et al.. (2018). Transferability of laparoscopic skills using the virtual reality simulator. Surgical Endoscopy. 32(10). 4132–4137. 24 indexed citations
7.
Kahlert, Christoph, Marius Distler, Daniela E. Aust, et al.. (2017). Pankreasfrühkarzinom. Der Chirurg. 89(4). 257–265. 2 indexed citations
8.
Yang, Cui, et al.. (2017). Impaired laparoscopic performance of novice surgeons due to phone call distraction: a single-centre, prospective study. Surgical Endoscopy. 31(12). 5312–5317. 19 indexed citations
9.
Klupp, Fee, Christoph Kahlert, Johannes Diers, et al.. (2016). Serum MMP7, MMP10 and MMP12 level as negative prognostic markers in colon cancer patients. BMC Cancer. 16(1). 494–494. 79 indexed citations
10.
Klupp, Fee, Johannes Diers, Christoph Kahlert, et al.. (2015). Expressional STAT3/STAT5 Ratio is an Independent Prognostic Marker in Colon Carcinoma. Annals of Surgical Oncology. 22(S3). 1548–1555. 20 indexed citations
11.
Giese, Nathalia A., et al.. (2014). Salinomycin inhibits growth of pancreatic cancer and cancer cell migration by disruption of actin stress fiber integrity. Cancer Letters. 358(2). 161–169. 60 indexed citations
13.
Schmitz-Winnenthal, Friedrich H., Lars Grenacher, Heinz Lubenau, et al.. (2013). VXM01, an oral T-cell vaccine targeting the tumor vasculature: Results from a randomized, controlled, first-in-man study in pancreatic cancer patients.. Journal of Clinical Oncology. 31(15_suppl). 3090–3090. 5 indexed citations
14.
Halama, Niels, Sara Michel, Matthias Kloor, et al.. (2011). Localization and Density of Immune Cells in the Invasive Margin of Human Colorectal Cancer Liver Metastases Are Prognostic for Response to Chemotherapy. Cancer Research. 71(17). 5670–5677. 321 indexed citations
15.
Sommer, Christof M., Ulrike Stampfl, Nadine Bellemann, et al.. (2011). Technical and clinical outcome of transjugular intrahepatic portosystemic stent shunt: Bare metal stents (BMS) versus viatorr stent-grafts (VSG). European Journal of Radiology. 81(9). 2273–2280. 43 indexed citations
16.
Roeder, Falk, Carmen Timke, Susanne Oertel, et al.. (2009). Intraoperative Electron Radiotherapy for the Management of Aggressive Fibromatosis. International Journal of Radiation Oncology*Biology*Physics. 76(4). 1154–1160. 18 indexed citations
17.
Reißfelder, Christoph, Boris Radeleff, Arianeb Mehrabi, et al.. (2009). Emergency Liver Transplantation After Umbilical Hernia Repair: A Case Report. Transplantation Proceedings. 41(10). 4428–4430. 11 indexed citations
18.
Rieker, Ralf J., Juergen Weitz, Burkhard Lehner, et al.. (2009). Genomic profiling reveals subsets of dedifferentiated liposarcoma to follow separate molecular pathways. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 456(3). 277–285. 33 indexed citations
19.
Engelmann, Guido, Jan Schmidt, Juergen Weitz, et al.. (2009). A new pediatric liver transplantation program in Southern Germany. The Heidelberg experience. Pediatric Transplantation. 14(1). 12–18. 4 indexed citations
20.
Hartel, M., et al.. (2004). The role of (neo-)adjuvant therapy in rectal cancer. DMW - Deutsche Medizinische Wochenschrift. 129(17). 957–962. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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